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Applying Cognitive Memory to CyberSecurity

Part of the Advances in Information Security book series (ADIS, volume 55)

Abstract

Investigative data mining involves organizing, sorting, clustering and segmenting of data to detect and predict criminal behavior. Many of these tasks can be aided by the use of neural networks- Cognimem’s CM1 K cognitive memory being a practical and commercially available example. One can construct a vector of various attributes and compare this against known errant behavior. Profiles can be constructed by criminologists, compared and flagged within predefined limits. Cognitive memory can accelerate this process.

Keywords

Hash Function Processing Element Hyperspectral Image Virus Detection Influence Field 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Copyright information

© Springer Science+Business Media New York 2014

Authors and Affiliations

  1. 1.CogniMem TechnologiesFolsomUSA

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